Quantitative analysis of population-scale family trees with millions of relatives

Joanna Kaplanis; Assaf Gordon; Tal Shor; Omer Weissbrod; Dan Geiger; Mary Wahl; Michael Gershovits; Barak Markus; Mona Sheikh; Melissa Gymrek; Gaurav Bhatia; Daniel G. MacArthur; Alkes L. Price; Yaniv Erlich

doi:10.1126/science.aam9309

Quantitative analysis of population-scale family trees with millions of relatives

Joanna Kaplanis, Assaf Gordon, Tal Shor, Omer Weissbrod, Dan Geiger, Mary Wahl, Michael Gershovits, Barak Markus, Mona Sheikh, Melissa Gymrek, Gaurav Bhatia, Daniel G. MacArthur, Alkes L. Price, Yaniv Erlich

Research output: Contribution to journal › Article › peer-review

138 Scopus citations

Abstract

Family trees have vast applications in fields as diverse as genetics, anthropology, and economics. However, the collection of extended family trees is tedious and usually relies on resources with limited geographical scope and complex data usage restrictions. We collected 86 million profiles from publicly available online data shared by genealogy enthusiasts. After extensive cleaning and validation, we obtained population-scale family trees, including a single pedigree of 13 million individuals. We leveraged the data to partition the genetic architecture of human longevity and to provide insights into the geographical dispersion of families. We also report a simple digital procedure to overlay other data sets with our resource.

Original language	English
Pages (from-to)	171-175
Number of pages	5
Journal	Science
Volume	360
Issue number	6385
DOIs	https://doi.org/10.1126/science.aam9309
State	Published - 13 Apr 2018
Externally published	Yes

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title = "Quantitative analysis of population-scale family trees with millions of relatives",

abstract = "Family trees have vast applications in fields as diverse as genetics, anthropology, and economics. However, the collection of extended family trees is tedious and usually relies on resources with limited geographical scope and complex data usage restrictions. We collected 86 million profiles from publicly available online data shared by genealogy enthusiasts. After extensive cleaning and validation, we obtained population-scale family trees, including a single pedigree of 13 million individuals. We leveraged the data to partition the genetic architecture of human longevity and to provide insights into the geographical dispersion of families. We also report a simple digital procedure to overlay other data sets with our resource.",

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AU - Kaplanis, Joanna

AU - Gordon, Assaf

AU - Shor, Tal

AU - Weissbrod, Omer

AU - Geiger, Dan

AU - Wahl, Mary

AU - Gershovits, Michael

AU - Markus, Barak

AU - Sheikh, Mona

AU - Gymrek, Melissa

AU - Bhatia, Gaurav

AU - MacArthur, Daniel G.

AU - Price, Alkes L.

AU - Erlich, Yaniv

PY - 2018/4/13

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AB - Family trees have vast applications in fields as diverse as genetics, anthropology, and economics. However, the collection of extended family trees is tedious and usually relies on resources with limited geographical scope and complex data usage restrictions. We collected 86 million profiles from publicly available online data shared by genealogy enthusiasts. After extensive cleaning and validation, we obtained population-scale family trees, including a single pedigree of 13 million individuals. We leveraged the data to partition the genetic architecture of human longevity and to provide insights into the geographical dispersion of families. We also report a simple digital procedure to overlay other data sets with our resource.

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Quantitative analysis of population-scale family trees with millions of relatives

Abstract

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